1 code implementation • 27 May 2023 • Alperen Tercan, Ahana Ghosh, Hasan Ferit Eniser, Maria Christakis, Adish Singla
We propose a novel synthesis algorithm that generates a progression of subtasks that are high-quality, well-spaced in terms of their complexity, and solving this progression leads to solving the reference task.
1 code implementation • 28 Mar 2023 • Ahana Ghosh, Sebastian Tschiatschek, Sam Devlin, Adish Singla
We introduce a scaffolding framework based on pop quizzes presented as multi-choice programming tasks.
1 code implementation • NeurIPS 2020 • Umair Z. Ahmed, Maria Christakis, Aleksandr Efremov, Nigel Fernandez, Ahana Ghosh, Abhik Roychoudhury, Adish Singla
Our task synthesis algorithm operates by first mutating code $\rm C^{in}$ to obtain a set of codes $\{\rm C^{out}\}$.
no code implementations • 5 Oct 2019 • Ahana Ghosh, Sebastian Tschiatschek, Hamed Mahdavi, Adish Singla
In the test phase, the AI agent has to interact with a user of unknown type.
no code implementations • NeurIPS 2019 • Sebastian Tschiatschek, Ahana Ghosh, Luis Haug, Rati Devidze, Adish Singla
We study two teaching approaches: learner-agnostic teaching, where the teacher provides demonstrations from an optimal policy ignoring the learner's preferences, and learner-aware teaching, where the teacher accounts for the learner's preferences.